{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bd3ecb92",
   "metadata": {},
   "source": [
    "---\n",
    "* 2023-11-13\n",
    "* 课程：Python语言\n",
    "* week11课堂\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "912faf13",
   "metadata": {},
   "source": [
    "# 1. 本周内容\n",
    "\n",
    "## 1. 元组\n",
    "\n",
    "> 1. 概念\n",
    "> 2. 创建\n",
    "> 3. 一般方法\n",
    "\n",
    "## 2. 集合\n",
    "> 1. 概念\n",
    "> 2. 创建\n",
    "> 3. 一般方法\n",
    "\n",
    "## 3. 字典\n",
    "> 1. 概念\n",
    "> 2. 创建\n",
    "> 3. 一般方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e214bd1",
   "metadata": {},
   "source": [
    "# 1. 元组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f3d976fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1699873684.5399883"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import time\n",
    "time.time()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92631d90",
   "metadata": {},
   "source": [
    "## 1.1 元组的创建方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e812ec8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. 第一种创建方法\n",
    "my_tuple1 = 1699873684,100001,\"小明\",18,\"冰岛\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9e9fe6a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1699873684, 100001, '小明', 18, '冰岛')\n",
      "<class 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "print(my_tuple1)\n",
    "print(type(my_tuple1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5ece2a91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1699873684, 100001, '小明', 18, '冰岛')\n",
      "<class 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "my_tuple2 = (1699873684,100001,\"小明\",18,\"冰岛\")\n",
    "print(my_tuple2)\n",
    "print(type(my_tuple2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d1af9931",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Jessa', 30, 45.75, [89, 78])\n",
      "<class 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "# 2. 第二种创建元组的方法\n",
    "my_tuple3 = tuple(('Jessa', 30, 45.75, [89, 78]))\n",
    "print(my_tuple3)\n",
    "print(type(my_tuple3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "865835f5",
   "metadata": {},
   "source": [
    "## 1.2 元组的一般方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c730a264",
   "metadata": {},
   "source": [
    "* 1. 关于序列数据的一般方法均适用于元组\n",
    "> 1. indexing and slicing （索引取值和切片）\n",
    "> 2. in 方法查询\n",
    "> 3. len()\n",
    "> 4. for 循环遍历\n",
    "* 2. 元组独有的一些常用方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e0945cfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45.75"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_tuple3[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8a1884ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45.75, [89, 78])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_tuple3[2:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cba6a70b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'Jalex' in my_tuple3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "74231f35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'Jessa' in my_tuple3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c0afb4a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(my_tuple3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3c399328",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jessa\n",
      "30\n",
      "45.75\n",
      "[89, 78]\n"
     ]
    }
   ],
   "source": [
    "for i in my_tuple3:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "43b47eac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_tuple3.count(45.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9e611029",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_tuple3.index([89, 78])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b7daea7d",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-17-6c8117132737>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmy_tuple3\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'Jerry'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "my_tuple3[0] = 'Jerry'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc03bae1",
   "metadata": {},
   "source": [
    "# 2. 集合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5455ccb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "歌剧社 = {'小明','小红','李华','张三'}\n",
    "街舞社 = {'小明','李鹏','王芳'}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3b361404",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小明', '小红', '张三', '李华', '李鹏', '王芳'}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 并集：去重\n",
    "歌剧社.union(街舞社)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "172811a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小明', '小红', '张三', '李华', '李鹏', '王芳'}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 运算法则 |\n",
    "歌剧社 | 街舞社"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7f6407f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小明'}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 交集: 找出重复的项\n",
    "歌剧社.intersection(街舞社)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2571a7c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小明'}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "歌剧社 & 街舞社"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "55b36455",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小红', '张三', '李华'}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 差集\n",
    "歌剧社.difference(街舞社)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8dc039db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小红', '张三', '李华'}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "歌剧社 - 街舞社"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f7097d79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'李鹏', '王芳'}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "街舞社.difference(歌剧社)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b76ff686",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'小红', '张三', '李华', '李鹏', '王芳'}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对称差集\n",
    "歌剧社.symmetric_difference(街舞社)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "44563be9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on built-in function symmetric_difference:\n",
      "\n",
      "symmetric_difference(...) method of builtins.set instance\n",
      "    Return the symmetric difference of two sets as a new set.\n",
      "    \n",
      "    (i.e. all elements that are in exactly one of the sets.)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(歌剧社.symmetric_difference)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c15702cf",
   "metadata": {},
   "source": [
    "# 3. 字典（dict）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d0ef22b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "info = {\n",
    "    \"stu2201\":\"Ziqi\",\n",
    "    \"stu2202\":\"XiaoFeng\",\n",
    "    \"stu2203\":\"Liuyu\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "fd5695a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'stu2201': 'Ziqi', 'stu2202': 'XiaoFeng', 'stu2203': 'Liuyu'}\n",
      "<class 'dict'>\n"
     ]
    }
   ],
   "source": [
    "print(info)\n",
    "print(type(info))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7a774fdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'XiaoFeng'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info[\"stu2202\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "af8f7495",
   "metadata": {},
   "outputs": [],
   "source": [
    "info_01 = {\n",
    "    \"stu2201\":[\"Ziqi\",2200001,18,\"女\"],\n",
    "    \"stu2202\":[\"XiaoFeng\",2200002 ,0 , \"男\"],\n",
    "    \"stu2203\":[\"Liuyu\",2200003,19,\"\"],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e649e62f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['XiaoFeng', 2200002, 0, '男']"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info_01[\"stu2202\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80b3226f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1dfb0b00",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22efd3fb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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